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ARTMED
1999
92views more  ARTMED 1999»
15 years 15 days ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
147
Voted
CVPR
2009
IEEE
1863views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Abnormal Crowd Behavior Detection using Social Force Model
In this paper we introduce a novel method to detect and localize abnormal behaviors in crowd videos using Social Force model. For this purpose, a grid of particles is placed ove...
Alexis Oyama, Mubarak Shah, Ramin Mehran
ICPR
2004
IEEE
16 years 1 months ago
Non-linear Reflectance Model for Bidirectional Texture Function Synthesis
A rough texture modelling involves a huge image data-set - the Bidirectional Texture Function (BTF). This 6-dimensional function depends on planar texture coordinates as well as o...
Jirí Filip, Michal Haindl
101
Voted
ISCAS
2008
IEEE
166views Hardware» more  ISCAS 2008»
15 years 7 months ago
Complexity modeling of H.264/AVC CAVLC/UVLC entropy decoders
Abstract— A complexity model for context-based adaptive variable length coding (CAVLC) and universal variable length coding (UVLC) in the H.264/AVC decoder is proposed. CAVLC and...
Szu-Wei Lee, C. C. Jay Kuo
ACIVS
2006
Springer
15 years 6 months ago
Discrete Choice Models for Static Facial Expression Recognition
In this paper we propose the use of Discrete Choice Analysis (DCA) for static facial expression classification. Facial expressions are described with expression descriptive units ...
Gianluca Antonini, Matteo Sorci, Michel Bierlaire,...